P-Order L2-Norm Distance Twin Support Vector Machine. - Xu Ma 005; Ying'an Liu; Qiaolin Ye (ACPR, 2017)

L2P-Norm Distance Twin Support Vector Machine. - Xu Ma 005; Qiaolin Ye; He Yan (IEEE Access, 2017)

F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds. - Qi Chen 018; Xu Ma 005; Sihai Tang; Jingda Guo; Qing Yang 003; Song Fu (SEC, 2019)

Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks. - Xu Ma 005; Zhinan Qiao; Jingda Guo; Sihai Tang; Qi Chen 018; Qing Yang 003; Song Fu (ICIP, 2020)

Spanet: Spatial Pyramid Attention Network for Enhanced Image Recognition. - Jingda Guo; Xu Ma 005; Andrew Sansom; Mara McGuire; Andrew Kalaani; Qi Chen 018; Sihai Tang; Qing Yang 003; Song Fu (ICME, 2020)

Attention Meets Normalization and Beyond. - Xu Ma 005; Jingda Guo; Qi Chen 018; Sihai Tang; Qing Yang 003; Song Fu (ICME, 2020)

Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position. - Xu Ma 005; Song Fu (IJCAI, 2020)

DCANet: Learning Connected Attentions for Convolutional Neural Networks. - Xu Ma 005; Jingda Guo; Sihai Tang; Zhinan Qiao; Qi Chen 018; Qing Yang 003; Song Fu (CoRR, 2020)

Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization. - Zhangjing Yang; Qiaolin Ye; Qiao Chen; Xu Ma 005; Liyong Fu; Guowei Yang 002; He Yan; Fan Liu 003 (Knowl. Based Syst., 2020)

APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. - Beilei Jiang; Xianwei Cheng; Sihai Tang; Xu Ma 005; Zhaochen Gu; Hui Zhao 013; Song Fu (FPGA, 2021)

Learning Connected Attentions for Convolutional Neural Networks. - Xu Ma 005; Jingda Guo; Sihai Tang; Zhinan Qiao; Qi Chen 018; Qing Yang 003; Song Fu; Paparao Palacharla; Nannan Wang 003; Xi Wang 001 (ICME, 2021)

CoConv: Learning Dynamic Cooperative Convolution for Image Recognition. - Kien X. Nguyen 002; Tiffany Ryu; Jocelyn Zhang; Xu Ma 005; Qing Yang 003; Song Fu; Paparao Palacharla; Nannan Wang 003; Xi Wang 001 (ICME, 2021)

Online Self-Evolving Anomaly Detection in Cloud Computing Environments. - Haili Wang; Jingda Guo; Xu Ma 005; Song Fu; Qing Yang 003; Yunzhong Xu (CoRR, 2021)

Spatial Pyramid Attention for Deep Convolutional Neural Networks. - Xu Ma 005; Jingda Guo; Andrew Sansom; Mara McGuire; Andrew Kalaani; Qi Chen 018; Sihai Tang; Qing Yang 003; Song Fu (IEEE Trans. Multim., 2021)

Towards Layer-wise Image Vectorization. - Xu Ma 005; Yuqian Zhou; Xingqian Xu; Bin Sun 002; Valerii Filev; Nikita Orlov; Yun Fu 001; Humphrey Shi (CVPR, 2022)

Making Reconstruction-based Method Great Again for Video Anomaly Detection. - Yizhou Wang 006; Can Qin; Yue Bai; Yi Xu 005; Xu Ma 005; Yun Fu 001 (ICDM, 2022)

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. - Xu Ma 005; Can Qin; Haoxuan You; Haoxi Ran; Yun Fu 001 (ICLR, 2022)

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. - Beilei Jiang; Xianwei Cheng; Sihai Tang; Xu Ma 005; Zhaochen Gu; Song Fu; Qing Yang 003; Mingxiong Liu (IPDPS, 2022)

Parameter-Efficient Masking Networks. - Yue Bai; Huan Wang 014; Xu Ma 005; Yitian Zhang; Zhiqiang Tao; Yun Fu 001 (NeurIPS, 2022)

Online Self-Evolving Anomaly Detection for Reliable Cloud Computing. - Tianyu Bai; Haili Wang; Jingda Guo; Xu Ma 005; Mahendra Talasila; Sihai Tang; Song Fu; Qing Yang 003 (UCC, 2022)

A Close Look at Spatial Modeling: From Attention to Convolution. - Xu Ma 005; Huan Wang 004; Can Qin; Kunpeng Li; Xingchen Zhao; Jie Fu; Yun Fu 001 (CoRR, 2022)

Efficient Converted Spiking Neural Network for 3D and 2D Classification. - Yuxiang Lan; Yachao Zhang 001; Xu Ma 005; Yanyun Qu; Yun Fu 001 (ICCV, 2023)

BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation. - Miaoyu Li; Yachao Zhang 001; Xu Ma 005; Yanyun Qu; Yun Fu 001 (ICCV, 2023)

Image as Set of Points. - Xu Ma 005; Yuqian Zhou; Huan Wang 014; Can Qin; Bin Sun 002; Chang Liu 022; Yun Fu 001 (ICLR, 2023)

Rewrite the Stars. - Xu Ma 005; Xiyang Dai; Yue Bai; Yizhou Wang 006; Yun Fu 001 (CVPR, 2024)

Efficient Modulation for Vision Networks. - Xu Ma 005; Xiyang Dai; Jianwei Yang; Bin Xiao 004; Yinpeng Chen; Yun Fu 001; Lu Yuan (ICLR, 2024)

Slicing Vision Transformer for Flexible Inference. - Yitian Zhang; Huseyin Coskun; Xu Ma 005; Huan Wang; Ke Ma; Xi Stephen Chen; Derek Hao Hu; Yun Fu 001 (NeurIPS, 2024)

Accessing Vision Foundation Models at ImageNet-level Costs. - Yitian Zhang; Xu Ma 005; Yue Bai; Huan Wang 014; Yun Fu 001 (CoRR, 2024)

Slicing Vision Transformer for Flexible Inference. - Yitian Zhang; Huseyin Coskun; Xu Ma 005; Huan Wang; Ke Ma; Xi Chen; Derek Hao Hu; Yun Fu 001 (CoRR, 2024)

Accessing Vision Foundation Models via ImageNet-1K. - Yitian Zhang; Xu Ma 005; Yue Bai; Huan Wang; Yun Fu 001 (ICLR, 2025)

Sound: Unknown Object Detection for Autonomous Driving. - Donger Chen; Xu Ma 005; Ying He; Wang Feng; Qing Yang 003; Song Fu; Ted Tsao (MOST, 2025)